The Open Provenance Model is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technologyagnostic manner. (4) To support a digital representation of provenance for any "thing", whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation. This document contains the specification of the Open Provenance Model (v1.1) resulting from a community-effort to achieve inter-operability in the Third Provenance Challenge.

Abstract

3 NCSA 4 PNNL 1 Background Provenance is well understood in the context of art or digital libaries, where it respectively refers to the documented history of an art object, or the documentation of processes in a digital object's life cycle. Interest for provenance in the "e-science community" [12] is also growing, since provenance is perceived as a crucial component of workflow systems that can help scientists ensure reproducibility of their scientific analyses and processes [2,4]. Against this background, the International Provenance and Annotation Workshop (IPAW'06), held on May 3-5, 2006 in Chicago, involved some 50 participants interested in the issues of data provenance, process documentation, data derivation, and data annotation [7]. During a session on provenance standardization, a consensus began to emerge, whereby the provenance research community needed to understand better the capabilities of the different systems, the representations they used for provenance, their similarities, their differences, and the rationale that motivated their designs. Hence, the first Provenance Challenge [1] was born, and from the outset, the challenge was set up to be informative rather than competitive. The first Provenance Challenge was set up in order to provide a forum for the community to understand the capabilities of different provenance systems and the expressiveness of their provenance representations. Participants simulated or ran a Functional Magnetic Resonance Imaging workflow, from which they implemented and executed a pre-identified set of "provenance queries". Sixteen teams responded to the challenge, and reported their experience in a journal special issue [9]. The first Provenance Challenge was followed by the second Provenance Challenge [1], aiming at establishing inter-operability of systems, by exchanging provenance information. During discussions, the thirteen teams that responded to the second challenge found out that there was substantial agreement on a core representation of provenance. As a result, following a workshop in August 2007, in Salt Lake City, a data model was crafted by the authors and released as the Open Provenance Model (OPM v1.00) [8]. On June 19th 2008, some twenty participants attended the first OPM workshop, held after IPAW'08 [3], to discuss the OPM specification. Minutes of the workshop and recommendations [5] were published, and led to the current version (v1.01) of the Open Provenance Model [10].

SUMMARYThe first Provenance Challenge was set up in order to provide a forum for the community to understand the capabilities of different provenance systems and the expressiveness of their provenance representations. To this end, a functional magnetic resonance imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Sixteen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarize the participants' contributions.

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